Claude Token Counter

• Honest estimates — Anthropic's tokenizer isn't public, so exact client-side counts don't exist
• Real Claude counts typically land within ±15% of this figure
• The Anthropic API's usage field and count_tokens endpoint give exact numbers
• Claude's standard context window is 200k tokens — the fit meter shows your usage
• Fully client-side — your text is never uploaded

Use Cases

Frequently Asked Questions

How accurate is the estimate?

Typically within ±15% for English prose, and often closer. Code, non-English text, and unusual formatting can drift further. For decisions where the exact number matters — billing forecasts, hard context limits — verify with Anthropic's count_tokens endpoint.

Why not just use the OpenAI tokenizer number as-is?

That's essentially what all client-side Claude counters do, because it's the closest public vocabulary. The difference is honesty about it: this tool labels the figure an estimate instead of presenting borrowed precision as fact.

Do Claude and ChatGPT count the same text differently?

Yes, somewhat — different vocabularies split words differently, so the same paragraph gets slightly different counts. The models' per-token pricing also differs, so compare costs, not raw token numbers.

Is this token counter free?

Yes — free with no limits, no signup, and no account.

Is my text uploaded anywhere?

No. Counting runs entirely in your browser; the text you paste never leaves your device.